John S. Conery

10.5k total citations · 2 hit papers
40 papers, 3.5k citations indexed

About

John S. Conery is a scholar working on Artificial Intelligence, Molecular Biology and Computer Networks and Communications. According to data from OpenAlex, John S. Conery has authored 40 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 10 papers in Molecular Biology and 8 papers in Computer Networks and Communications. Recurrent topics in John S. Conery's work include Logic, programming, and type systems (7 papers), Genomics and Phylogenetic Studies (7 papers) and Genetics, Aging, and Longevity in Model Organisms (5 papers). John S. Conery is often cited by papers focused on Logic, programming, and type systems (7 papers), Genomics and Phylogenetic Studies (7 papers) and Genetics, Aging, and Longevity in Model Organisms (5 papers). John S. Conery collaborates with scholars based in United States, Austria and Canada. John S. Conery's co-authors include Michael Lynch, Reinhard Bürger, Julian Catchen, John H. Postlethwait, Dennis Kibler, Shawn R. Lockery, Nathan Dunn, Jonathan T. Pierce, Margaret E. Saks and Kevin Sahr and has published in prestigious journals such as Science, Bioinformatics and Journal of Neurophysiology.

In The Last Decade

John S. Conery

37 papers receiving 3.3k citations

Hit Papers

The Origins of Genome Complexity 1995 2026 2005 2015 2003 1995 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Origins of Genome Complexity
    2003 1.2k citations Michael Lynch, John S. Conery profile →
  2. Mutation Accumulation and the Extinction of Small Populations
    1995 783 citations Michael Lynch, John S. Conery et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John S. Conery United States 15 1.7k 1.6k 898 520 440 40 3.5k
James O. McInerney Ireland 42 1.2k 0.7× 3.2k 2.0× 664 0.7× 532 1.0× 1.4k 3.2× 122 5.6k
Anders Lindström Sweden 26 400 0.2× 391 0.2× 422 0.5× 408 0.8× 138 0.3× 118 2.3k
Christophe Dessimoz Switzerland 40 1.8k 1.1× 5.0k 3.1× 1.5k 1.7× 538 1.0× 923 2.1× 96 7.6k
Paulien Hogeweg Netherlands 40 1.7k 1.0× 3.0k 1.9× 1.4k 1.6× 558 1.1× 475 1.1× 144 6.0k
Jonathan Arnold United States 38 3.3k 1.9× 2.6k 1.6× 947 1.1× 1.1k 2.1× 1.4k 3.2× 159 7.4k
Tandy Warnow United States 46 4.1k 2.4× 6.1k 3.8× 1.6k 1.8× 1.6k 3.0× 763 1.7× 205 9.2k
Benedict Paten United States 34 1.6k 0.9× 4.2k 2.6× 1.5k 1.7× 136 0.3× 488 1.1× 87 5.8k
Scott A. Taylor United States 34 1.5k 0.9× 920 0.6× 947 1.1× 805 1.5× 940 2.1× 120 3.6k
Frank Johannes Germany 33 994 0.6× 1.8k 1.1× 2.0k 2.3× 171 0.3× 115 0.3× 95 5.1k
Saurabh Sinha United States 40 1.3k 0.8× 3.6k 2.2× 602 0.7× 681 1.3× 157 0.4× 119 5.5k

Countries citing papers authored by John S. Conery

Since Specialization
Citations

This map shows the geographic impact of John S. Conery's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by John S. Conery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John S. Conery more than expected).

Fields of papers citing papers by John S. Conery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John S. Conery. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John S. Conery. The network helps show where John S. Conery may publish in the future.

Co-authorship network of co-authors of John S. Conery

This figure shows the co-authorship network connecting the top 25 collaborators of John S. Conery. A scholar is included among the top collaborators of John S. Conery based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John S. Conery. John S. Conery is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sweeney, Emily Goers, et al.. (2019). Agent-Based Modeling Demonstrates How Local Chemotactic Behavior Can Shape Biofilm Architecture. mSphere. 4(3). 22 indexed citations
2.
Conery, John S.. (2014). Explorations in Computing.
3.
Catchen, Julian, John S. Conery, & John H. Postlethwait. (2009). Automated identification of conserved synteny after whole-genome duplication. Genome Research. 19(8). 1497–1505. 178 indexed citations
4.
Catchen, Julian, John S. Conery, & John H. Postlethwait. (2008). Inferring Ancestral Gene Order. Methods in molecular biology. 452. 365–383. 7 indexed citations
5.
Saks, Margaret E. & John S. Conery. (2007). Anticodon-dependent conservation of bacterial tRNA gene sequences. RNA. 13(5). 651–660. 22 indexed citations
6.
Dunn, Nathan, John S. Conery, & Shawn R. Lockery. (2007). Circuit Motifs for Spatial Orientation Behaviors Identified by Neural Network Optimization. Journal of Neurophysiology. 98(2). 888–897. 11 indexed citations
7.
Conery, John S.. (2007). Aligning Sequences by Minimum Description Length. PubMed. 2007. 1–14. 3 indexed citations
8.
Dunn, Nathan, Shawn R. Lockery, Jonathan T. Pierce, & John S. Conery. (2004). A Neural Network Model of Chemotaxis Predicts Functions of Synaptic Connections in the Nematode Caenorhabditis elegans. Journal of Computational Neuroscience. 17(2). 137–147. 49 indexed citations
9.
Vinogradov, Alexander E., Michael Lynch, & John S. Conery. (2004). Testing Genome Complexity [4] (multiple letters). 304(5669). 389–390. 1 indexed citations
10.
Dunn, Nathan, John S. Conery, & Shawn R. Lockery. (2003). Circuit Optimization Predicts Dynamic Network for Chemosensory Orientation in the Nematode C. elegans.. Neural Information Processing Systems. 1279–1286. 1 indexed citations
11.
Conery, John S., et al.. (2002). Optimizing irregular computations on SIMD machines: a case study. 222–230. 1 indexed citations
12.
Conery, John S. & Michael Lynch. (1999). Genetic Simulation Library.. Bioinformatics. 15(1). 85–86. 4 indexed citations
13.
Meyer, David M. & John S. Conery. (1990). Architected failure handling for and-parallel logic programs. Scholars' Bank (University of Oregon). 271–290. 1 indexed citations
14.
Conery, John S.. (1987). Implementing Backward Execution in Non-Deterministic AND-Parallel Systems.. International Conference on Lightning Protection. 633–653. 3 indexed citations
15.
Conery, John S.. (1987). Parallel Execution of Logic Programs. 68 indexed citations
16.
Kibler, Dennis & John S. Conery. (1985). Parallelism in AI programs. International Joint Conference on Artificial Intelligence. 53–56. 8 indexed citations
17.
Conery, John S. & Dennis Kibler. (1985). AND parallelism and nondeterminism in logic programs. New Generation Computing. 3(1). 43–70. 32 indexed citations
18.
Conery, John S. & Dennis Kibler. (1983). AND parallelism in logic programs. International Joint Conference on Artificial Intelligence. 539–543. 14 indexed citations
19.
Conery, John S., Paul Morris, & Dennis Kibler. (1981). Efficient Logic Programs: A Research Proposal. eScholarship (California Digital Library). 3 indexed citations
20.
Conery, John S.. (1980). Metaphors of Instrumental Computer Use: A Case Study. eScholarship (California Digital Library). 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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